Tasks and inputs
Wan-AI/Wan2.2-T2V-A14B is listed for Text-to-video. It accepts text and produces video. Use the publisher’s input format and preprocessing for your chosen deployment.
SyncDev model directory · Profile updated Oct 7, 2026
Hugging Face repository for Text-to-video.
The specification score summarizes recorded features and limits. It is not a benchmark result.
Recorded modality support shows what this model can accept and produce. An undocumented modality is shown as unknown rather than assumed to be unsupported.
Accepts
Produces
Wan-AI/Wan2.2-T2V-A14B is a Hugging Face repository returned by the public Text-to-video task feed. Its recorded download count is 5,957 and it has 534 likes when the repository snapshot was collected. Popularity is useful for discovery, but it is not a performance ranking or a guarantee of suitability.
This record is categorized for Text-to-video. A task category describes the intended machine-learning problem; it does not prove that every version, checkpoint, quantization, or deployment method produces the same quality. Teams should read the model card and test representative inputs before choosing it.
The public repository lists wan2.2 as its library metadata. Its recorded tags include wan2.2, diffusers, safetensors, text-to-video, arxiv:2503.20314, arxiv:2309.14509, license:apache-2.0, region:us. These source details are retained so readers can trace this directory entry back to the repository instead of relying on copied descriptions.
Compare prompts at the same duration and resolution. Inspect temporal consistency, physical motion, identity drift and prompt adherence across the whole clip rather than judging a single frame.
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Wan-AI/Wan2.2-T2V-A14B is listed for Text-to-video. It accepts text and produces video. Use the publisher’s input format and preprocessing for your chosen deployment.
Documented limits: 100 context and 1 maximum output. The listed route charges $0.60 input and $0.00 output per million tokens. Choose duration, resolution and frame rate together. Compare the cost of an accepted clip, including repeat generations.
The weights are downloadable under the publisher’s model licence. Check runtime support and size the complete model and working context for your expected concurrency.
These records share a directory category. Check the source card, output type and deployment requirements before treating a model as a replacement.
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